Vitae tomorrows-researchers

19/12/2014
Insights into Researcher Development - Innovations. Vitae Connections slide 1
Tomorrow's Researchers
Matthew Dovey
Jisc Technologies
matthew.dovey@jisc.ac.uk
Skills Needed to Adapt to the Future Demands of Digital Research

Digital Roles of the Future Researcher
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Information
Manager
Data
Manager
Technologist
PR
Manager
Project
Manager

Information Manager
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Information
Manager
Data
Manager
Technologist
PR
Manager
Project
Manager

SCONUL Seven Pillars of Literacy
Insights into Researcher Development - Innovations. Vitae Connections 4

Researchers ofTomorrow Study
Education for Change, together with The
Research Partnership, was commissioned
by the British Library and JISC to undertake
a ground-breaking study on the research
behaviour of the 'GenerationY' scholar
The study spent three years tracking the
information-seeking behaviour of doctoral
students born between 1982 - 1994;
analysed their habits in online and physical
research environments and assessed how
they used library and information sources,
both on and off line
Over 17,000 doctoral students from more
than 70 higher education institutions
participated in the three annual surveys,
which were complemented by a
longitudinal student cohort study.
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http://explorationforchange.net/index.php/rot-home.html

Key Findings
Doctoral students are increasingly reliant on secondary research resources (e.g. journal articles, books),
moving away from primary materials (e.g. primary archival material and large datasets).
Access to relevant resources is a major constraint for doctoral students’ progress. Authentication access
and licence limitations to subscription-based resources, such as e-journals, are particularly problematic.
Open access and copyright appear to be a source of confusion for GenerationY doctoral students, rather
than encouraging innovation and collaborative research.
This generation of doctoral students operate in an environment where their research behaviour does
not use the full potential of innovative technology.
Doctoral students are insufficiently trained or informed to be able to fully embrace the latest
opportunities in the digital information environment.
Key Barriers
»Time Constraints - finding electronic research and getting hold of relevant
resources
»Doctoral students believe that they are insufficiently trained or informed to
enable them to embrace the latest opportunities
»Low awareness and understanding of intellectual property and copyright and
open access
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Data ManagerData Scientist
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Information
Manager
Data
Manager
Technologist
PR
Manager
Project
Manager

Royal Society - Science as an Open Enterprise Report, 2012
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• ‘how the conduct and communication of science
needs to adapt to this new era of information
technology’.
• ‘As a first step towards this intelligent
openness, data that underpin a journal article
should be made concurrently available in an
accessible database.
• We are now on the brink of an achievable aim: for
all science literature to be online, for all of the
data to be online and for the two to be
interoperable.’
http://royalsociety.org/policy/projects/science-public-enterprise/report/

G8 Science Ministers Statement London UK, 12 June 2013
»To the greatest extent and with the fewest constraints possible publicly funded
scientific research data should be open, while at the same time respecting
concerns in relation to privacy, safety, security and commercial interests, whilst
acknowledging the legitimate concerns of private partners.
»Open scientific research data should be easily discoverable, accessible,
assessable, intelligible, useable, and wherever possible interoperable to specific
quality standards.
»To maximise the value that can be realised from data, the mechanisms for
delivering open scientific research data should be efficient and cost effective, and
consistent with the potential benefits.
»To ensure successful adoption by scientific communities, open scientific research
data principles will need to be underpinned by an appropriate policy
environment, including recognition of researchers fulfilling these principles, and
appropriate digital infrastructure.
Open Scientific Research Data
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EU Digital ERA
Optimal circulation, access to and transfer of scientific knowledge
COMMUNICATION FROMTHE COMMISSIONTOTHE EUROPEAN PARLIAMENT,THE COUNCIL,THE
EUROPEAN ECONOMIC AND SOCIAL COMMITTEE ANDTHE COMMITTEE OFTHE REGIONS - A
Reinforced European Research Area Partnership for Excellence and Growth. 17July 2012.
Pilot on Open Research Data in H2020
» Areas of the 2014-2015 Work Programme participating in the Open Research Data Pilot are:
› Future and Emerging Technologies
› Research infrastructures – part e-Infrastructures
› Leadership in enabling and industrial technologies – Information and Communication
Technologies
› Societal Challenge: Secure, Clean and Efficient Energy – part Smart cities and communities
› Societal Challenge: Climate Action, Environment, Resource Efficiency and Raw materials –
except raw materials
› Societal Challenge: Europe in a changing world – inclusive, innovative and reflective Societies
› Science with and for Society
› Projects in other areas can participate on a voluntary basis.
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Data as New Output of Research
‘technology has enabled data to become the prevalent material and currency of
research. Data, not information, not publications, is rapidly becoming the
accepted deliverable of research.’
Graham Pryor, Observations on the RLUK Reskilling for Research Report
http://www.dpconline.org/newsroom/whats-new/842-whats-new-issue-44-april-
2012
slide 12
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Insights into Researcher Development - Innovations. Vitae Connections

Why Research Data Management?
•Research Excellence & Impact – data will be cited; used by others
including peers, other disciplines, the public, industry, in learning –
ability to meet global challenges; innovate & create new research
areas.
•Research integrity - replication, verification of research,
improvement of methods & results.
•Efficiency - save duplication of research effort, data creation &
therefore costs; ease of access & re-use.
•Managing risks – ability to meet FOI requests; protect reputation.
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DUDs
The data centre
under the desk (or
in a back pack) is
not adequate.
1419/12/2014
Insights into Researcher Development - Innovations. Vitae
Connections

Access and
ID management
Standards;
policies;
coordination &
cooperation.
EASY
ACCESS
Data
identifiers
Access &
security
Researcher/
organisational
identifiers
Funders
policies
Deposit
protocols and
infrastructure
Advice &
guidance/good
practice
R@R:
Support
take up of
citation
R@R:UK
Research
Data
Discovery
metadata
R@R: metrics
& usage data
service
DMP
OnLine
R@R:
DMP
registry
Cardio
planning
tool
R@R:
RD Spring
prototypes
UKDS
/Institutional
repositories
R@R: shared
Preservation
Repositories
(metadata)
Digital Curation
Centre
Open
Training
Materials
in Jorum
Shared data
centre
R@R:
comprehensive
tool-kit;
case studies
Sherpa Juliet
Funder policies
R@R:
Journal
Policy
registry
R@R:
EPSRC
support
R@R:
busines
s case
& costs
R@R:
RD Spring
Prototypes, &
BRISSkit
Janet networkCloud and
HPC brokerage
Jisc Research Data Infrastructure
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Need forTraining in RDM and Data Skills
‘data skills should be made a core academic competency’
‘data handling [should be] embedded in the curriculum’
‘There is a need to go beyond the workshop and the short
training course, and embed preparation for a professional
(and personal) lifetime of digital data curation within the
academic curriculum.’
Graham Pryor and Martin Donnelly (2009), ‘Skilling up to do data: whose role, whose
responsibility, whose career? IJDC, Issue 2,Volume 4, pp.158-170.
slide 16
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“When you go and look at what scientists are doing, day in and day out, in terms of
data analysis, it is truly dreadful.We are embarrassed by our data!”
Jim Gray, Microsoft
»So what are the priorities?
› 1. Ensuring scientifically valid processing
› 2. Innovative manipulation to create new information
› 3. Effective management of research data
“There is a serious issue of education, training and support at undergraduate,
doctoral and post-doctoral levels”
Geoffrey Boulton (University of Edinburgh)
slide 17
“Its not just curation, retrieving and
integrating data – its also what we do with it!”
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Big Data
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Technologist
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Information
Manager
Data
Manager
Technologist
PR
Manager
Project
Manager

Holistic Research
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Result
DataSoftware
ValueTransition
'Software is the Modern Language of Science‘
Ed Seidel, NSF

“It is important to place a higher value upon the position of
“scientific programmer” and also “data scientist” in the
academic environment and to offer more career opportunities to
these staff. Scientific programmers combine the knowledge of
the …discipline with implementation, optimisation and
parallelisation for high end systems: they are important in
obtaining highly efficient application implementations.
Scientists outside the domains of engineering and the physical
sciences are particularly unlikely to have been exposed to the
necessary skills, and will need special mentoring if they are to
make the most of the opportunities offered by e-Science.”
e-Infrastructure vision for the UK, DBIS, 2012
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http://www.jisc.ac.uk/publications/briefingpapers/2011/bpsupportingresearchers.aspx 22

23http://www.jisc.ac.uk/publications/briefingpapers/2011/bpsupportingresearchers.aspx

24http://www.jisc.ac.uk/publications/briefingpapers/2011/bpsupportingresearchers.aspx

EUWorkshops Overview
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11-12 March 2013
Corpus Christi College,Oxford, UK
14-15 July 2014
EGI.eu,Amsterdam,The Netherlands
.
• Agenda covered current and future activities among member EU states
toward recognising research technologists and the coordination and support
that delegates felt was needed from the EU
• Discussed current activities across Europe
• Highlighted what has been achieved on the road to recognition of research
technologists, what has worked and what has not worked in member states
• Discussed future activities in the areas of Advocacy, Embedding andTraining
and identified in work already undertaken
• Discussed roles of Data Scientist, Research Software Engineer etc.
• Recommendations fed into H2020 INFRASUPP-4Work Programme

Institutional
and funding
council
structures and
policies
ICT facilities
and associated
support
Training
researchers
Transforming
or making
available
research
outputs
Creating
technology
Creating
innovation
Developing
software
Using tools and
e-infrastructure
Data curation
and
management
Services and
solutions
RESEARCH
“SkillsWheel”
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Institutional
and funding
council
structures and
policies
ICT facilities
and associated
support
Training
researchers
Transforming
or making
available
research
outputs
Creating
technology
Creating
innovation
Developing
software
Using tools and
e-infrastructure
Data curation
and
management
Services and
solutions
RESEARCH
Researcher
“Researcher”
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Institutional
and funding
council
structures and
policies
ICT facilities
and associated
support
Training
researchers
Transforming
or making
available
research
outputs
Creating
technology
Creating
innovation
Developing
software
Using tools and
e-infrastructure
Data curation
and
management
Services and
solutions
RESEARCH
ICT Capable
Researcher
“ICT-skilled
Researcher”
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Institutional
and funding
council
structures and
policies
ICT facilities
and associated
support
Training
researchers
Transforming
or making
available
research
outputs
Creating
technology
Creating
innovation
Developing
software
Using tools and
e-infrastructure
Data curation
and
management
Services and
solutions
RESEARCH
Specialist Support
“IT Support”
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Institutional
and funding
council
structures and
policies
ICT facilities
and associated
support
Training
researchers
Transforming
or making
available
research
outputs
Creating
technology
Creating
innovation
Developing
software
Using tools and
e-infrastructure
Data curation
and
management
Services and
solutions
RESEARCH
Research
Technologist
Support &
Knowledge Transfer
“Research
Technologist”
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PR Manager
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Information
Manager
Data
Manager
Technologist
PR
Manager
Project
Manager

Research has a cast list
slide 32
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Career of the Future: Data Scientist Study Results Infographic
EMC2 : http://www.emc.com/microsites/bigdata/infographic.htm

“Scientific fraud is rife: it's time to stand up for good science”
“Science is broken” Examples:
psychology academics making up data,
anaesthesiologistYoshitaka Fujii with 172 faked articles
Nature - rise in biomedical retraction rates overtakes rise in published
papers
This week,
slide 33
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“economists have been astonished to find that a
famous academic paper often used to make the case
for austerity cuts contains major errors. Another
surprise is that the mistakes, by two eminent Harvard
professors, were spotted by a student doing his
homework”
http://www.bbc.co.uk/news/magazine-22223190

Public Participation
Tim Gowers - crowd-sourced mathematics
An unsolved problem posed on his blog. 32 days – 27 people – 800
substantive contributions Emerging contributions rapidly
developed or discarded Problem solved! “Its like driving a car
whilst normal research is like pushing it”
Citizen Science
Galaxy Zoo: Hubble
Solar Storm Watch
Old Weather
Whale FM
Ancient Lives
Fold It (creating protein molecules)
SETI (extra terrestrial intelligence)
Etc.
slide 34
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The Open DigitalWorld is HighlyVisible
Public Engagement with Science
»Citizen Science
»Public Critique
› “Climate-gate”
› Tree rings data
»Scrutiny of public funding
Persistence of Digital Footprint
»Social network embarrassments
»Working in the public eye
»Digital information cannot easily be revoked
Need for skills for conduct and communication with the general public not
just peers
slide 35
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Digital Roles of the Future Researcher
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Information
Manager
Data
Manager
Technologist
PR
Manager
Project
Manager

Gateway for Higher Education
The G4HE project aims to engage with the BIS-funded RCUK Gateway to Research
(GtR) initiative to improve the information exchange between HEIs and the
Research Councils.The project will develop tools and interfaces to allow both
human and machine access to data held on GtR, and elsewhere where that is
required.The tools and interfaces will be based on validated use-cases shown to
have specific and demonstrable value to HEIs, and will be subject to robust
assurance on both quality and sustainability criteria.The use cases will be used to
prioritise which data improvements should be addressed and what value this
delivers for universities.
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Jisc Futures Co-design
»In 2010 we defined digital literacies as: those
capabilities which fit someone for living, learning and
working in a digital society
»It’s a much-disputed term, but the concept struck a
chord in the sector, especially from 2012-13 onwards
»Now in 2014 we’re being asked to address ‘digital
capability’ in the HE and FE sectors as a priority
challenge
Building Digital Capability

Building digital capability
»Need emerged from sector consultation
»Running mid-2014 to end 2015
»Covers a wide range of roles, including researchers
»Building on the work of the Jisc developing digital literacies programme,
whichVitae participated in
»Digital capability framework will be pulled together in collaboration with
bodies likeVitae, building on existing frameworks such as the RDF and
others in the research space
»Diagnostic tools will include those for researcher skills – simple example at
http://bit.ly/researcherquiz
»Staff-student partnerships can be particularly effective with research
students
»Find out more at http://digitalcapability.jiscinvolve.org/
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Building digital capability
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Digital
capability
framework
Diagnostic
tools
Leadership
development
MOOC
Staff-student
partnerships
Underpinning
layer
Models and
examples of
impact
assessment
Stakeholder
engagement
Presentation layer
(toolkit, resources
and guidance)

© Jisc 2014
Jisc permits reuse of this presentation and its contents under the terms of the
Creative Commons Attribution-Non-Commercial-No Derivative Works 2.0 UK
England &Wales Licence.
http://creativecommons.org/licenses/by-nc-nd/2.0/uk
19/12/2014

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